Role Overview
Delivery-first architect role focused on building scalable Data & AI platforms across AWS + Azure.
Must combine architecture vision + hands-on execution and drive Discovery → PoC →
Production.
Must-Have Responsibilities
- Design end-to-end data architectures (Lakehouse / Mesh / Fabric)
- Architect AI/ML pipelines (MLOps, LLMOps, RAG)
- Lead delivery lifecycle with hands-on involvement (code reviews, performance tuning)
- Define CI/CD & IaC (Terraform/Bicep) standards
- Work on GenAI solutions (Azure OpenAI + AWS Bedrock)
- Handle real-time data (Kinesis/Event Hubs) & governance (Purview/DataZone)
- Engage with C-level stakeholders and drive business-aligned solutions
Mandatory Technical Skills
Cloud (Both Required)
- AWS: S3, Glue, Athena, Redshift, Lambda, SageMaker
- Azure: Data Factory, Synapse, Databricks, Azure OpenAI
Data & AI
- Python, SQL, PySpark (Strong hands-on)
- Lakehouse: Delta Lake / Iceberg / Hudi
- Vector DBs: Pinecone / Weaviate / Milvus
- Experience with LLMs / Foundation Models / RAG
DevOps / DataOps
- CI/CD: Git, Jenkins, Azure DevOps
- IaC: Terraform / Bicep
- Data quality & testing frameworks
Must-Have Traits
- Strong in delivery + problem-solving
- Able to work in fast-paced environments
- Excellent stakeholder communication & storytelling
Preferred
- AWS Solutions Architect – Professional
- Azure Solutions Architect Expert
- Databricks Certification
